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  • Publish Date：2026-06-23
NYCU and Phison Partner to Build Campus-Wide AI Compute Governance Platform
NYCU President Chi-Hung Lin (center, front row) and Phison Electronics CEO Khein-Seng Pua (third from left, front row) mark the launch of the Phison HCI platform, a collaboration aimed at advancing AI compute governance and expanding shared computing resources across the university.
NYCU President Chi-Hung Lin (center, front row) and Phison Electronics CEO Khein-Seng Pua (third from left, front row) mark the launch of the Phison HCI platform, a collaboration aimed at advancing AI compute governance and expanding shared computing resources across the university.
 
Edited by Chance Lai
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As artificial intelligence (AI) continues to advance, the focus of AI development is gradually shifting beyond raw computing power toward a new challenge: how to manage, allocate, and optimize computing resources efficiently.

To address this emerging need, National Yang Ming Chiao Tung University (NYCU) and Phison Electronics have launched a joint initiative to establish a campus-wide GPU resource management platform, creating a more integrated and efficient AI computing environment for research, education, and innovation.

The collaboration was marked by a donation ceremony on June 22 to deploy the Phison Heterogeneous Computing Infrastructure (Phison HCI), an AI heterogeneous computing resource management platform. The project brings together NYCU’s College of Computer Science, College of Electrical and Computer Engineering, Industry Academia Innovation School, and Information Technology Service Center, reflecting a university-wide effort to strengthen AI infrastructure through shared governance and cross-disciplinary collaboration.

Managing AI Resources in the Era of Compute Governance

The rapid expansion of AI has led universities and research institutions worldwide to invest heavily in high-performance computing resources. Yet as GPU clusters continue to grow, ensuring that these resources are effectively utilized has become an increasingly important challenge.

NYCU President Chi-Hung Lin noted that as one of Taiwan’s leading hubs for AI and semiconductor talent development, the university has continuously invested in advanced computing infrastructure and AI research capabilities. However, the growing number of GPU systems across different academic units has also created new demands for resource coordination and sharing. “Connecting computing resources across departments and improving overall utilization have become critical priorities,” Lin said.

By introducing the Phison HCI platform, NYCU aims to improve the efficiency of existing computing resources, enable broader access to AI infrastructure, and support interdisciplinary research projects that require large-scale computing power. The platform is also expected to strengthen collaboration among researchers, faculty members, and students while expanding opportunities for innovative AI applications.



Building a Flexible Foundation for Future AI Infrastructure

According to Khein-Seng Pua, the initiative extends beyond addressing current GPU management needs. “Our goal is to help NYCU establish a scalable AI computing infrastructure that can evolve with future technologies,” Pua said.

He explained that the platform is designed to gradually integrate emerging computing technologies, including AI application-specific integrated circuits (AI ASICs), inference accelerators, and other heterogeneous computing devices. With a Software-Defined Compute architecture, the system will provide a unified management environment that supports diverse hardware platforms and future generations of AI computing technologies.

Such flexibility, he noted, is increasingly important as AI workloads become more specialized and heterogeneous, requiring institutions to manage a broader range of computing architectures rather than relying solely on traditional GPU resources.

A Model for AI Infrastructure in Higher Education

Beyond improving campus computing efficiency, the partnership is expected to serve as a reference model for AI infrastructure development across Taiwan’s higher education sector.

By combining academic expertise with industry experience, NYCU and Phison aim to create a shared AI computing ecosystem that supports advanced research, accelerates innovation, and strengthens talent development in both AI and semiconductor technologies.

As AI continues to reshape scientific discovery, education, and industry, effective compute governance is becoming as important as computing power itself. Through this collaboration, NYCU is taking another step toward building the infrastructure needed to support the next generation of AI-driven research and innovation.
文圖/公關組

隨著人工智慧快速發展，AI已從單純追求算力規模，逐步邁向算力治理（Compute Governance）與資源最佳化的新階段。如何有效管理與調度各類運算資源，已成為提升AI研發效率與降低建置成本的重要關鍵。

為提升校園算力資源運用效率，本校與群聯電子攜手推動GPU資源管理平臺建置計畫，並於 6 月 22 日舉辦AI異質運算資源管理平台(Phison HCI)捐贈儀式。此次合作由資訊學院、電機學院、產學創新研究學院及資訊技術服務中心共同參與，透過跨單位資源整合與管理機制，打造全校共享的高效能運算環境，建立更完善的AI算力治理模式。

林奇宏校長表示，作為國內AI與半導體人才培育的重要基地，學校持續投入高效能運算環境建置與AI教研資源整合。然而隨著校內GPU設備規模持續擴增，如何有效串聯不同單位運算資源，提升整體使用效率與共享效益，已成為重要課題。導入AI異質運算資源管理平台後，將有助於提升既有設備使用效率，促進跨領域研究合作與教學資源共享，支援更多前瞻科研計畫與創新應用發展。
 


群聯電子潘健成執行長表示，除了優化現階段GPU資源管理需求，更希望協助陽明交大建立具擴充性的AI算力基礎架構。未來平臺可逐步整合 AI ASIC、推論加速器及其他新興異質運算設備，透過 軟體定義計算(Software-Defined Compute) 概念，打造跨架構、跨世代的統一管理環境，成為國內高教體系AI算力共享與治理的重要示範案例。

透過此次合作，本校與群聯電子共同打造校園AI算力共享環境，並作為國內高等教育體系推動AI基礎建設的重要參考。雙方也將持續結合產業實務與學術研究能量，共同培育AI與半導體領域人才，為臺灣科技創新與產業發展奠定更堅實基礎。

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